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Machine Learning

·June 19, 2019·5 min read

From one brain scan, more information for medical artificial intelligence

A convolutional neural network, designed by researchers at MIT, uses MRI datasets to find anatomical structures of the brain. The system could help in diagnosing and treating a range of brain conditions.

This shows how the model reconstructs a face

Featured Neuroscience

·June 18, 2019·3 min read

3D model shows how ‘face identity information’ is stored in the brain

The 'Generative Model of 3D Face Identity' is able to reconstruct facial models using information stored in a person's brain when recalling the familiar face of another person.

This shows a plastic mask behind binary code

Featured Neuroscience Open Neuroscience Articles Psychology

·June 13, 2019·5 min read

The whisper of schizophrenia: Machine learning finds ‘sound’ words predict psychosis

A new deep learning algorithm can predict those at risk of psychosis with 93% accuracy by examining the latent semantic content of an individual's speech.

This shows a brain scan of a person with RRMS

Featured Neurology Neuroscience Open Neuroscience Articles

·June 12, 2019·3 min read

AI used to detect brain’s response to multiple sclerosis treatment

Combining artificial intelligence technology with MRI brain scans, researchers are able to detect the brain's response to Natalizumab treatment for those with relapsing-remitting multiple sclerosis.

This shows a young woman looking out of a window

Featured Neuroscience Open Neuroscience Articles Psychology

·June 11, 2019·3 min read

Brain activation provides individual-level prediction of bipolar disorder risk

Combining neuroimaging data with machine learning, researchers have identified patterns of brain activation during reward anticipation, associated with an increased risk of developing bipolar disorder. The patterns of neural activation predict the severity of mania symptoms in young adults who have not yet developed the disorder.

Featured Neuroscience

·June 11, 2019·4 min read

Research moves closer to brain-machine interface autonomy

Findings allow for the development of an autonomously updating brain-machine interface, which is able to improve on its own by learning about its subject without additional programming. The system could help develop new robotic prosthetics, which can perform more naturally.

This is a chart linking substances to personality types

Featured Neuroscience Psychology

·June 10, 2019·3 min read

Personality traits of drug users

Your personality type may influence addiction to certain drugs, a new study reveals. Those whose personalities rank higher for impulsivity are more likely to use ecstasy, while those who score higher for neurotic traits are more likely to use opioid like heroin, researchers report.

Featured Neurology Neuroscience Open Neuroscience Articles

·June 7, 2019·7 min read

AI tool helps radiologists detect brain aneurysms

The newly developed HeadXNet deep learning system can accurately detect clinically significant aneurysms from patients' brain scans. The tool could improve diagnostics and care for those experiencing aneurysms.

Neuroscience

·June 7, 2019·4 min read

Algorithm provides customized caffeine strategy for alertness

Researchers have developed a web-based caffeine optimization tool that helps determine the ideal dosage and timing for a cup of joe, based on the individual. The aim of the algorithm is to help users maximize the effects of alertness without indulging in excessive caffeine consumption.

Featured Neuroscience Open Neuroscience Articles

·June 6, 2019·3 min read

Fussy, hungry, or even in pain? Scientists create an AI tool to tell babies’ cries apart

A new deep learning algorithm, based on automatic speech recognition, is able to accurately identify features in an infant's cry and differentiate between normal versus abnormal cry signals.

Featured Neuroscience Psychology

·June 3, 2019·6 min read

Algorithm that Tailors Digital Meditation Program Improves Attention and Memory

MediTrain, a new app-based program that uses a closed-loop algorithm to tailor the length of meditation sessions to a person's ability, can improve memory and attention in younger people.

This shows a diagram of how the algorithm works

Featured Neuroscience

·May 29, 2019·2 min read

Outsmarting deep fakes: Researchers devise an AI-driven imaging system that protects authenticity

It might start to get easier to distinguish between real and fake images, thanks to a new deep learning system developed by NYU. The system is able to implant digital watermarks using an artificial neural network and spot manipulated photos and videos.

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Machine Learning

From one brain scan, more information for medical artificial intelligence

3D model shows how ‘face identity information’ is stored in the brain

The whisper of schizophrenia: Machine learning finds ‘sound’ words predict psychosis

AI used to detect brain’s response to multiple sclerosis treatment

Brain activation provides individual-level prediction of bipolar disorder risk

Research moves closer to brain-machine interface autonomy

Personality traits of drug users

AI tool helps radiologists detect brain aneurysms

Algorithm provides customized caffeine strategy for alertness

Fussy, hungry, or even in pain? Scientists create an AI tool to tell babies’ cries apart

Algorithm that Tailors Digital Meditation Program Improves Attention and Memory

Outsmarting deep fakes: Researchers devise an AI-driven imaging system that protects authenticity

Why Teenage Songs Define Us: The Science of Musical Memory

Can a Disconnected Brain Be Conscious?

People Miss Racial Bias Hidden Inside AI Emotion Recognition

New Alzheimer’s Mutation Weakens Brain’s Immune Defense

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